Ferramenta de simulação do consumo de energia na iluminação pública

A iluminação pública é uma área importante de consumo energético. Actualmente existem uma variedade de soluções tecnológicas que permitem diminuir esse consumo e o correspondente impacte ambiental. No entanto, estas soluções tecnológicas nem sempre são utilizadas devido à falta de suporte informático que permita o planeamento para instalação de redes de iluminação, e/ou actualização das tecnologias utilizadas na rede de iluminação existente. Este relatório apresenta uma ferramenta de simulação do consumo de energia na iluminação pública, através da definição de cenários pelo utilizador, nos quais são simuladas a escolha de lâmpadas, luminárias e sistemas de controlo para cada ramal de electricidade, representados sobre um plano geográfico, que permita o cálculo de indicadores de apoio à decisão. A solução apresentada neste relatório, desenvolvida sobre o sistema de web mapping Google Maps, e sobre a plataforma de desenvolvimento para a web Ruby on Rails, permite o desenho sobre o mapa de uma rede de iluminação pública, e o cálculo em tempo de execução do custo e consumo de energia dos cenários de iluminação simulados pelo utilizador. Através de expansões futuras esta ferramenta poderá contribuir para a eficiente optimização de redes de iluminação pública.

Atividades educativas na prevenção da aids na rede básica municipal de saúde: participação do enfermeiro

TORRES, Gilson de Vasconcelos; ENDERS, Bertha Cruz. Atividades educativas na prevencao da AIDS em uma rede basica municipal de saude: participacao do enfermeiro. Rev.latino-am.enfermagem, Ribeirao Preto, v.7, n.2, p.71-77, abril 1999. Disponivel em: . Acesso em: 04 set. 2010.

Desenvolvimento de um sistema Inteligente para a análise de cartas dinamométricas no método de elevação por bombeio mecânico

The artificial lifting of oil is needed when the pressure of the reservoir is not high enough so that the fluid contained in it can reach the surface spontaneously. Thus the increase in energy supplies artificial or additional fluid integral to the well to come to the surface. The rod pump is the artificial lift method most used in the world and the dynamometer card (surface and down-hole) is the best tool for the analysis of a well equipped with such method. A computational method using Artificial Neural Networks MLP was and developed using pre-established patterns, based on its geometry, the downhole card are used for training the network and then the network provides the knowledge for classification of new cards, allows the fails diagnose in the system and operation conditions of the lifting system. These routines could be integrated to a supervisory system that collects the cards to be analyzed

Controle preditivo neural aplicado à processos petroquímicos

A pesquisa tem como objetivo desenvolver uma estrutura de controle preditivo neural, com o intuito de controlar um processo de pH, caracterizado por ser um sistema SISO (Single Input - Single Output). O controle de pH é um processo de grande importância na indústria petroquímica, onde se deseja manter constante o nível de acidez de um produto ou neutralizar o afluente de uma planta de tratamento de fluidos. O processo de controle de pH exige robustez do sistema de controle, pois este processo pode ter ganho estático e dinâmica nãolineares. O controlador preditivo neural envolve duas outras teorias para o seu desenvolvimento, a primeira referente ao controle preditivo e a outra a redes neurais artificiais (RNA s). Este controlador pode ser dividido em dois blocos, um responsável pela identificação e outro pelo o cálculo do sinal de controle. Para realizar a identificação neural é utilizada uma RNA com arquitetura feedforward multicamadas com aprendizagem baseada na metodologia da Propagação Retroativa do Erro (Error Back Propagation). A partir de dados de entrada e saída da planta é iniciado o treinamento offline da rede. Dessa forma, os pesos sinápticos são ajustados e a rede está apta para representar o sistema com a máxima precisão possível. O modelo neural gerado é usado para predizer as saídas futuras do sistema, com isso o otimizador calcula uma série de ações de controle, através da minimização de uma função objetivo quadrática, fazendo com que a saída do processo siga um sinal de referência desejado. Foram desenvolvidos dois aplicativos, ambos na plataforma Builder C++, o primeiro realiza a identificação, via redes neurais e o segundo é responsável pelo controle do processo. As ferramentas aqui implementadas e aplicadas são genéricas, ambas permitem a aplicação da estrutura de controle a qualquer novo processo

Sistema inteligente para estimar a porosidade em sedimentos a partir da análise de sinais GPR

This Thesis presents the elaboration of a methodological propose for the development of an intelligent system, able to automatically achieve the effective porosity, in sedimentary layers, from a data bank built with information from the Ground Penetrating Radar GPR. The intelligent system was built to model the relation between the porosity (response variable) and the electromagnetic attribute from the GPR (explicative variables). Using it, the porosity was estimated using the artificial neural network (Multilayer Perceptron MLP) and the multiple linear regression. The data from the response variable and from the explicative variables were achieved in laboratory and in GPR surveys outlined in controlled sites, on site and in laboratory. The proposed intelligent system has the capacity of estimating the porosity from any available data bank, which has the same variables used in this Thesis. The architecture of the neural network used can be modified according to the existing necessity, adapting to the available data bank. The use of the multiple linear regression model allowed the identification and quantification of the influence (level of effect) from each explicative variable in the estimation of the porosity. The proposed methodology can revolutionize the use of the GPR, not only for the imaging of the sedimentary geometry and faces, but mainly for the automatically achievement of the porosity one of the most important parameters for the characterization of reservoir rocks (from petroleum or water)

Atuação do enfermeiro na rede básica de saúde frente a gestante com infecção do trato urinário

The Urinary Tract Infection (UTI) in pregnancy is important as a consequence of the high incidence during the gestation. It is the third most common clinical complication in pregnancy affecting 10-12% of women whether prevalence is increasing in the first trimester of pregnancy, it may also contribute to maternal and infant mortality. Due the relevance for the results of obstetric and neonatal complications from UTI, these complications must be prevented, because it can lead to health hazards to pregnant women and newborns, producing a direct effect on morbidity and perinatal mortality. On this basis, it was defined as objectives of this research the identification of the profile of nurses from the Family Health Strategy (FHS) in the East and West Health Districts from the city of Natal / RN before the women with UTI and to verify the nurse performance during prenatal consultations. This is an exploratory study with a quantitative approach using a sample of 40 nurses active workers during this survey, it was approved by the Research Ethics Committee of the Universidade Federal do Rio Grande do Norte Protocol n0 232/10 P-CEP/UFRN and opinion n0 080/2011. The tool for data collection was a structured interview. The data collected were organized into an electronic database application Microsoft ® Excel 2007, exported and analyzed using the Statistical Package for Social Sciences (SPSS) version 17.0, and coded, tabulated and presented through tables and charts into their respective percentage distributions, using the descriptive and inferential statistical analysis, chi-square test and significance level of 5% (distribution in relative and absolute frequencies) in the independent variables. Therefore, it was observed from these results that the longer action of nurses in the FHS from the East and Weast health districts of the city of Natal/RN contributed to the development of a greater number of activities to control the incidence of UTI in women who are attended in the prenatal care service, proven by significance in statistics

Avaliação do impacto do plano de expansão da rede federal na qualidade dos institutos federais de educação segundo indicadores de desempenho

The Expansion Plan of the Federal Network of Vocational Education foresees the construction of 860 new units of instruction until 2020, representing a strong growth against the 140 existing units prior to its disclosure by Federal Government of Brazil, in 2005. The Federal Institutes of Education, Science and Technology have been performing the expansion while experiencing the shortcomings and challenges of units still in development, created in previous phases of the Plan. The quality of the services of these institutions has been evaluated by the control bodies, which require the submission of performance indicators in annual management reports of institutions under their jurisdiction. In this context of expansion process, particularly, is desirable to identify possible changes in quality standards. Thus, this research was motivated by the following problem: there was difference in the performance of the Federal Institutes of Education, Science and Technology after the inauguration of the first units of phase II of the Expansion Plan of the Federal Network of Vocational Education? This is an exploratory-descriptive, ex-post-facto, quantitative approach research, which aims to contribute to the knowledge of the impact of the expansion of the Federal Network. The data were collected from 12 indicators presented in management reports of 38 Federal Institutes through years 2007 to 2011 to evaluate the performances using descriptive statistical techniques. The indicators were analyzed in both consolidated and open manners by the following perspectives: country region, growth of instruction units and institutions origin. Was also performed a multivariate analysis of clusters in order to identify excellence groups of Institutes. The results showed differences in the expansion plan s development among Brazilian regions, both in terms of infrastructure and academic indicators, with better results in the Midwest and South, and that there are differentiated profiles of institutes as its origin, where the best quality indicators occur in those originated by integration of different educational institutions. Still, were identified two excellence groups, with emphasis on academic management, human resources and expansion

EIT: Escalonador Inteligente de Transações

In order to guarantee database consistency, a database system should synchronize operations of concurrent transactions. The database component responsible for such synchronization is the scheduler. A scheduler synchronizes operations belonging to different transactions by means of concurrency control protocols. Concurrency control protocols may present different behaviors: in general, a scheduler behavior can be classified as aggressive or conservative. This paper presents the Intelligent Transaction Scheduler (ITS), which has the ability to synchronize the execution of concurrent transactions in an adaptive manner. This scheduler adapts its behavior (aggressive or conservative), according to the characteristics of the computing environment in which it is inserted, using an expert system based on fuzzy logic. The ITS can implement different correctness criteria, such as conventional (syntactic) serializability and semantic serializability. In order to evaluate the performance of the ITS in relation to others schedulers with exclusively aggressive or conservative behavior, it was applied in a dynamic environment, such as a Mobile Database Community (MDBC). An MDBC simulator was developed and many sets of tests were run. The experimentation results, presented herein, prove the efficiency of the ITS in synchronizing transactions in a dynamic environment

Arquitetura inteligente fuzzy para monitoramento de sinais vitais de pacientes: um estudo de caso em UTI

The area of the hospital automation has been the subject a lot of research, addressing relevant issues which can be automated, such as: management and control (electronic medical records, scheduling appointments, hospitalization, among others); communication (tracking patients, staff and materials), development of medical, hospital and laboratory equipment; monitoring (patients, staff and materials); and aid to medical diagnosis (according to each speciality). This thesis presents an architecture for a patient monitoring and alert systems. This architecture is based on intelligent systems techniques and is applied in hospital automation, specifically in the Intensive Care Unit (ICU) for the patient monitoring in hospital environment. The main goal of this architecture is to transform the multiparameter monitor data into useful information, through the knowledge of specialists and normal parameters of vital signs based on fuzzy logic that allows to extract information about the clinical condition of ICU patients and give a pre-diagnosis. Finally, alerts are dispatched to medical professionals in case any abnormality is found during monitoring. After the validation of the architecture, the fuzzy logic inferences were applied to the trainning and validation of an Artificial Neural Network for classification of the cases that were validated a priori with the fuzzy system

Técnicas de inteligência artificial para a geração dinâmica de set points para uma coluna de destilação

Artificial Intelligence techniques are applied to improve performance of a simulated oil distillation system. The chosen system was a debutanizer column. At this process, the feed, which comes to the column, is segmented by heating. The lightest components become steams, by forming the LPG (Liquefied Petroleum Gas). The others components, C5+, continue liquid. In the composition of the LPG, ideally, we have only propane and butanes, but, in practice, there are contaminants, for example, pentanes. The objective of this work is to control pentane amount in LPG, by means of intelligent set points (SP s) determination for PID controllers that are present in original instrumentation (regulatory control) of the column. A fuzzy system will be responsible for adjusting the SP's, driven by the comparison between the molar fraction of the pentane present in the output of the plant (LPG) and the desired amount. However, the molar fraction of pentane is difficult to measure on-line, due to constraints such as: long intervals of measurement, high reliability and low cost. Therefore, an inference system was used, based on a multilayer neural network, to infer the pentane molar fraction through secondary variables of the column. Finally, the results shown that the proposed control system were able to control the value of pentane molar fraction under different operational situations

Software inteligente embarcado aplicado à correção de erro na medição de vazão em gás natural

This study developed software rotines, in a system made basically from a processor board producer of signs and supervisory, wich main function was correcting the information measured by a turbine gas meter. This correction is based on the use of an intelligent algorithm formed by an artificial neural net. The rotines were implemented in the habitat of the supervisory as well as in the habitat of the DSP and have three main itens: processing, communication and supervision

Contribuições à análise de robustez de sistemas de controle usando redes neurais

This work develops a robustness analysis with respect to the modeling errors, being applied to the strategies of indirect control using Artificial Neural Networks - ANN s, belong to the multilayer feedforward perceptron class with on-line training based on gradient method (backpropagation). The presented schemes are called Indirect Hybrid Control and Indirect Neural Control. They are presented two Robustness Theorems, being one for each proposed indirect control scheme, which allow the computation of the maximum steady-state control error that will occur due to the modeling error what is caused by the neural identifier, either for the closed loop configuration having a conventional controller - Indirect Hybrid Control, or for the closed loop configuration having a neural controller - Indirect Neural Control. Considering that the robustness analysis is restrict only to the steady-state plant behavior, this work also includes a stability analysis transcription that is suitable for multilayer perceptron class of ANN s trained with backpropagation algorithm, to assure the convergence and stability of the used neural systems. By other side, the boundness of the initial transient behavior is assured by the assumption that the plant is BIBO (Bounded Input, Bounded Output) stable. The Robustness Theorems were tested on the proposed indirect control strategies, while applied to regulation control of simulated examples using nonlinear plants, and its results are presented

SurRFE -Sub-rede de filtragens específicas

The increasing of the number of attacks in the computer networks has been treated with the increment of the resources that are applied directly in the active routers equip-ments of these networks. In this context, the firewalls had been consolidated as essential elements in the input and output control process of packets in a network. With the advent of intrusion detectors systems (IDS), efforts have been done in the direction to incorporate packets filtering based in standards of traditional firewalls. This integration incorporates the IDS functions (as filtering based on signatures, until then a passive element) with the already existing functions in firewall. In opposite of the efficiency due this incorporation in the blockage of signature known attacks, the filtering in the application level provokes a natural retard in the analyzed packets, and it can reduce the machine performance to filter the others packets because of machine resources demand by this level of filtering. This work presents models of treatment for this problem based in the packets re-routing for analysis by a sub-network with specific filterings. The suggestion of implementa- tion of this model aims reducing the performance problem and opening a space for the consolidation of scenes where others not conventional filtering solutions (spam blockage, P2P traffic control/blockage, etc.) can be inserted in the filtering sub-network, without inplying in overload of the main firewall in a corporative network

Uma arquitetura distribuída de hardware e software para controle de um robô móvel autônomo

In this work, we present a hardware-software architecture for controlling the autonomous mobile robot Kapeck. The hardware of the robot is composed of a set of sensors and actuators organized in a CAN bus. Two embedded computers and eigth microcontroller based boards are used in the system. One of the computers hosts the vision system, due to the significant processing needs of this kind of system. The other computer is used to coordinate and access the CAN bus and to accomplish the other activities of the robot. The microcontroller-based boards are used with the sensors and actuators. The robot has this distributed configuration in order to exhibit a good real-time behavior, where the response time and the temporal predictability of the system is important. We adopted the hybrid deliberative-reactive paradigm in the proposed architecture to conciliate the reactive behavior of the sensors-actuators net and the deliberative activities required to accomplish more complex tasks

Desenvolvimento e implementação de um sistema de supervisão e controle residencial

With the technological progress the people are more and more looking for convenience, comfort and safety to your homes. The residential automation is winning space on the market not only by the status and modernity that provide, but also to allow a better use of natural resources, reducing the expense to keep up a residence. This work shows the development of a control system and supervision to be destined to the residential automation. The developed software will be working together with a controller (PLC), acting in the administration, control and supervision all the linked devices, and offering to the user an environment simple and practical for the control residence